update model card README.md
Browse files
README.md
CHANGED
|
@@ -1,37 +1,22 @@
|
|
| 1 |
---
|
| 2 |
language:
|
| 3 |
-
-
|
| 4 |
license: apache-2.0
|
| 5 |
tags:
|
| 6 |
- generated_from_trainer
|
| 7 |
-
datasets:
|
| 8 |
-
- mozilla-foundation/common_voice_11_0
|
| 9 |
metrics:
|
| 10 |
- wer
|
| 11 |
model-index:
|
| 12 |
-
- name:
|
| 13 |
-
results:
|
| 14 |
-
- task:
|
| 15 |
-
name: Automatic Speech Recognition
|
| 16 |
-
type: automatic-speech-recognition
|
| 17 |
-
dataset:
|
| 18 |
-
name: Common Voice 11.0
|
| 19 |
-
type: mozilla-foundation/common_voice_11_0
|
| 20 |
-
config: null
|
| 21 |
-
split: None
|
| 22 |
-
args: 'config: hi, split: test'
|
| 23 |
-
metrics:
|
| 24 |
-
- name: Wer
|
| 25 |
-
type: wer
|
| 26 |
-
value: 105.71808510638299
|
| 27 |
---
|
| 28 |
|
| 29 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 30 |
should probably proofread and complete it, then remove this comment. -->
|
| 31 |
|
| 32 |
-
#
|
| 33 |
|
| 34 |
-
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the
|
| 35 |
It achieves the following results on the evaluation set:
|
| 36 |
- Loss: 0.4158
|
| 37 |
- Wer: 105.7181
|
|
|
|
| 1 |
---
|
| 2 |
language:
|
| 3 |
+
- te
|
| 4 |
license: apache-2.0
|
| 5 |
tags:
|
| 6 |
- generated_from_trainer
|
|
|
|
|
|
|
| 7 |
metrics:
|
| 8 |
- wer
|
| 9 |
model-index:
|
| 10 |
+
- name: Whisper_Small_te
|
| 11 |
+
results: []
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 12 |
---
|
| 13 |
|
| 14 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 15 |
should probably proofread and complete it, then remove this comment. -->
|
| 16 |
|
| 17 |
+
# Whisper_Small_te
|
| 18 |
|
| 19 |
+
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
- Loss: 0.4158
|
| 22 |
- Wer: 105.7181
|